A tactile sensor array covered by a projected cylindrical elastomer has been designed and fabricated for crosstalk reduction among sensor elements caused by the lateral deformation of the elastomer. The analysis of elastomer deformation by the finite element method showed that the optimal thickness of the flat elastomer between cylinders and the substrate is 50–100 µm, because the sensor structure has not only a low crosstalk but also a high robustness. A tactile sensor array having the flat elastomer of 70 µm thickness has little crosstalk and high robustness.
We have designed and fabricated a tactile array sensors with three inclined micro-cantilevers embedded in elastomer, which can detect both normal and shear stresses. In this paper, we confirmed gripping status classification using sensor output. Using our sensor, four gripping status (free, grasping, holding and slipping) could be classified significantly.Key Words: tactile sensor, MEMS, gripping status classification 1.
Gauge-based hourly precipitation data during the 2015-2016 warm seasons in central Japan observed with the Japan Meteorological Agency AMeDAS network and the Japanese Alps Inter-University Cooperation Project (JALPS) mountain observation network are archived. Gauge data are compared to satellite precipitation data (GSMaP_MVK and GPM/DPR) produced by Japan Aerospace Exploration Agency. The distributions of precipitation measured in gauges depend on synoptic scale disturbances showing areas of regional increases/decreases affected by large mountain ranges without year-to-year variability, except for a composite of typhoon cases. Differences in precipitation amounts are less than 2 mm/d depending on satellite product version or timing of passive microwave observations. Larger precipitation amounts of GSMaP_ MVK estimated at more than 2 mm/d are distributed over inner mountain areas and northern coastal areas along the Sea of Japan, and larger amounts of gauge-measured precipitation are distributed in central Gifu and Shizuoka Prefectures. The underestimate of local sporadic heavy
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